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(Solved): pls answer asap using jupyter notebook THANK YOU. Introduction to Data Science (Jupyter Notebook) ...



pls answer asap using jupyter notebook THANK YOU.
Introduction to Data Science (Jupyter Notebook) Answer each line item. Read the question (?) or
replace the blanks with the a

Introduction to Data Science (Jupyter Notebook) Answer each line item. Read the question (?) or replace the blanks with the appropriate command/value/operator. Each line item is relevant to other items which specify clue/s to the next answer. Set the kernel to Python 3. Run each each code/line item whenever you answered it to indicate a successful execution or to show the output of the command/statement. When done answering, save your work with the filename E1-2- SURNAME. Print your work as PDF (right click the actual notebook) then submit to the BB link E1- 2. Each correct answer is equal to 2 points. Importing Packages in Python In [ ]: import pandas as pd #1.write the appropriate comment here identifying what is the line of statement or command for In [ ]: #2.write the command that you will be able to use numpy packages In []: from sklearn.tree import DecisionTreeClassifier, export_graphviz Getting Data into Python In [ ]: bank_train=pd.read_csv(_ #3write the address of your file bank_marketing training In [ ]: 24.pd.crosstab(bank_train['previous_outcome'], bank_train['response']) Run then show the output In [ ]: _=pd.crosstab(bank_train['previous_outcome'], bank_train ['response']) #Screate a contingency table in Python under the name crosstab_01 In [ ]: #6Run crosstab_81 to show the output Accessing Records and Variables in Python In [ ]: #7Access the records of bank_train #run the code to show the output Setting Up Graphics in Python In [ ]: bank_train['age']. 8. Show the histogram Adding Index Field Uisng Python


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Hello, The complete solution is given in a jupyter notebook. Place each code in each cell of the jupyter notebook and execute them. Steps to execute the code:- 1. Copy and paste the code into each cell of the jupyter notebook. 2. Make sure your datas
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